vdf | Package for working with Valve 's text and binary | Video Game library

by ValvePython Python Version: 3.4 License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | vdf Summary

vdf is a Python library typically used in Gaming, Video Game applications. vdf has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However vdf has 1 bugs. You can install using 'pip install vdf' or download it from GitHub, PyPI.

📜 Package for working with Valve's text and binary KeyValue format

Support

Quality

Security

License

Reuse

Support

vdf has a low active ecosystem.

It has 81 star(s) with 22 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 8 open issues and 16 have been closed. On average issues are closed in 92 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of vdf is 3.4

Quality

vdf has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 15 code smells.

Security

vdf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

vdf code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

vdf is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

vdf releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

vdf saves you 605 person hours of effort in developing the same functionality from scratch.

It has 1409 lines of code, 155 functions and 10 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed vdf and discovered the below as its top functions. This is intended to give you an instant insight into vdf implemented functionality, and help decide if they suit your requirements.

Deserialize a VBKV from a string
Removes a key from the VDFDict
Load binary data from binary stream
Set key to value
Normalize key
Verify a key tuple
Remove a key from the dict
Load binary data from a file - like object
Serialize obj into a VBKV format
Generator for binary dump
Serializes obj as a binary string
Dump a Python object to a binary stream
Parse a string
Parse a key - value pair
Dump a dict to a file - like object
Generates a YAML representation of a dictionary
Serialize obj to a string
Parse the contents of a file - like object

Get all kandi verified functions for this library.

vdf Key Features

No Key Features are available at this moment for vdf.

vdf Examples and Code Snippets

No Code Snippets are available at this moment for vdf.

Community Discussions

Trending Discussions on vdf

How to plot multiple line plots on Matplotlib programmatically?

pyspark transform subset of DataFrame cols but preserve index

Pandas pivot or reshape dataframe with NaN

how to execute a bash script in a jenkins declarative pipeline

group by a string column and datetime64[ns] column

Convert a Pandas dataframe with a date column to a Vaex dataframe

How do I fix the "Unrecognized field" problem?

Cannot save ggplot as eps

How does Polkadot's VRF achieve randomness to shuffle validators?

Use XSL to select value of non-unique element with unique attribute

QUESTION

How to plot multiple line plots on Matplotlib programmatically?

Asked 2021-Jun-09 at 01:14

I'm doing a web analytics data trying to examine the impact of emails on our traffic. The code I have for plotting is simple:

...

ANSWER

Answered 2021-Jun-09 at 01:14

To solve this, I identified that if there are multiple counter instances and are not grouped, then it will show the weird graph. This is important as the line chart is created based on the order of data I feed into it.

To solve this, I did the following:

Source https://stackoverflow.com/questions/67377871

QUESTION

pyspark transform subset of DataFrame cols but preserve index

Asked 2021-Apr-16 at 08:19

I am pretty new to spark/pyspark and I am trying to convert some pandas code to pyspark.

The problem in a nutshell is: how can i row wise transform some numeric columns of a spark dataframe while preserving the row index values.

I have a dataframe with several columns serving as the index, while the rest are numerical data I need to do several transforms on

...

ANSWER

Answered 2021-Apr-16 at 08:17

You can change the yield part as below, and change the way you call mapInPandas:

Source https://stackoverflow.com/questions/67120029

QUESTION

Pandas pivot or reshape dataframe with NaN

Asked 2020-Nov-19 at 03:43

I have this dataframe that i need to pivot or reshape based on the frame col

df = {'frame': {0: 0, 1: 1, 2: 2, 3: 0, 4: 1, 5: 2}, 'pvol': {0: nan, 1: nan, 2: nan, 3: 23.1, 4: 24.3, 5: 25.6}, 'vvol': {0: 109.8, 1: 140.5, 2: 160.4, 3: nan, 4: nan, 5: nan}, 'area': {0: 120, 1: 130, 2: 140, 3: 110, 4: 110, 5: 112}, 'label': {0: 'v', 1: 'v', 2: 'v', 3: 'p', 4: 'p', 5: 'p'}}

Current dataframe

...

ANSWER

Answered 2020-Nov-19 at 03:35

Let's try pivot and dropna:

Source https://stackoverflow.com/questions/64905007

QUESTION

how to execute a bash script in a jenkins declarative pipeline

Asked 2020-Sep-24 at 14:36

I have started recently using Jenkins in windows 10. I have a freestyle job that sync from the SCM, build a C++ solution and then it runs a batch script to upload to steam. I am trying to convert it to pipeline as I realized reading the documentation how much more powerful it is. My problem is that on the step to run the .bat file it gets stuck forever, this is the step:

...

ANSWER

Answered 2020-Sep-24 at 14:36

I found out the way in case somebody has the same issue, due to the path containing spaces it has to be called like this:

Source https://stackoverflow.com/questions/64035587

QUESTION

group by a string column and datetime64[ns] column

Asked 2020-Jul-14 at 02:41

I have the following data and I would like to know: Who was the first and last customer that each Driver pick-up for each day?

Data

This is how far I just got:

...

ANSWER

Answered 2020-Jul-14 at 02:41

You can first sort by the column Start which includes the hour and minutes, ensuring that multiple same day events are sorted correctly for the next step. Group the frame by Driver to find the drivers pick up for each day.

Using drop_duplicates drop repeated values using the flag keep="first" to preserve only the first values during the evaluation, similarly use keep="last" to preserve only the last (from a cluster of repeated values). This will produce unique dates for each driver, the first pick up and the last one for each day, then use the index from those days over the Customer column to get the customer's name.

Source https://stackoverflow.com/questions/62805371

QUESTION

Convert a Pandas dataframe with a date column to a Vaex dataframe

Asked 2020-Jun-10 at 08:52

I am trying to do the following

load some data with string columns

...

ANSWER

Answered 2020-Jun-10 at 08:52

If you would like to preserve the date/time format, especially while reading CSVs, i suggest you do :

df = pd.read_csv('myfile.csv', parse_dates=['datetime_col_1', 'datetime_col_2'])

you can also do:

df = vaex.read_csv('myfile.csv', parse_dates=['datetime_col_1', 'datetime_col_2'])

it is the same since it is using the pandas method in the background.

Source https://stackoverflow.com/questions/62142937

QUESTION

How do I fix the "Unrecognized field" problem?

Asked 2020-Jan-16 at 05:54

This is my CallTree.java source code:

...

ANSWER

Answered 2020-Jan-16 at 05:54

Your isNewContact and its related getter/setter don't follow the standard java bean naming.

As the property is named isNewContact, the getter is expected to be isIsNewContract, and the setter setIsNewContract.

But that simply sounds wrong because isNewContact is apparently meant to be the getter name. So I would change the names to:

Source https://stackoverflow.com/questions/59763695

QUESTION

Cannot save ggplot as eps

Asked 2019-Nov-22 at 01:43

I've read this and this but cannot make it work.

...

ANSWER

Answered 2018-Aug-27 at 12:57

First, there's an error in your code. It should be:

Source https://stackoverflow.com/questions/52031842

QUESTION

How does Polkadot's VRF achieve randomness to shuffle validators?

Asked 2019-Oct-16 at 15:55

Contrary to Ethereum which uses RANDAO (possibly enhanced with VDF), in Polkadot, a verifiable random function (VRF) is used to shuffle validators and select potential block proposers for certain slots. Where does the randomness come from, i.e. how does the randomness work specifically?

...

ANSWER

Answered 2019-Oct-16 at 15:55

A verifiable random function is a function that, in pseudocode, can be expressed like so:

Source https://stackoverflow.com/questions/58417336

QUESTION

Use XSL to select value of non-unique element with unique attribute

Asked 2019-Sep-26 at 06:17

I have a XML file like the below, where there are multiple elements with the same name, but different 'name' attributes.

...

ANSWER

Answered 2019-Sep-26 at 06:17

Use a predicate. For example, for the following XML:

Source https://stackoverflow.com/questions/58110206

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install vdf

You can install using 'pip install vdf' or download it from GitHub, PyPI.
You can use vdf like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: